We move diagnostics upstream from late stage damage detection to functional analysis of early neuroinflammatory mechanisms.
dAIgnostics has developed a liquid biopsy platform for neuroinflammatory and neurodegenerative diseases
The method is based on a disruptive diagnostic paradigm that directly measures the functional impact of patient-derived serum immunoglobulins G (IgG) – antibodies on healthy cells of neural origin. Instead of detecting downstream biomarkers, it captures early pathophysiological processes triggered by neuroinflammatory IgGs.
Using time-resolved fluorescence microscopy, the platform records three independent and mechanistically/physiologically relevant intracellular responses: calcium signaling, reactive oxygen species, and vesicular trafficking.
These signals reflect early disease mechanisms implicated in ALS and other neuroinflammatory conditions, often appearing before structural degeneration becomes detectable through imaging or conventional biomolecular markers. Artificial Intelligence (AI), particularly through ensemble and Bayesian algorithms, reinforces the multimodal nature of the acquired signals and enables high-probability predictive modeling.
Modern laboratories generate vast amounts of multimodal data. from omics and imaging to structured clinical datasets. These data are often fragmented across multiple systems, making integration, reproducible analysis, governance, and transparent reporting for research and regulatory environments difficult.
dAIgnostics Studio is a cloud-native platform that unifies the research data lifecycle and enables secure analysis of multimodal datasets. It supports AI/ML workflows, cohort construction, and explainable reporting with full traceability.
A unified hub for secure integration and analysis of biomedical data.
AI workflows and explainable reporting that enable faster, more reliable research.
Traditional in vitro diagnostics (IVD) often rely on fixed, frozen, or chemically treated cells, which can alter biological behavior and limit detection of true physiological biomarker responses. These methods increase variability, complexity, and the need for specialized laboratory environments.
dAIgnostics Apparatus is a IVD system designed to capture physiological biomarker signatures directly from living cells. Operating in a closed, contamination-controlled environment, it enables reliable diagnostics with viable cells while simplifying laboratory workflows.
Capture physiological biomarker signatures directly from viable cells.
A system platform for standardized, contamination-free diagnostics.
A multidisciplinary team spanning biophysics, neuroscience, and AI.
Chief Executive Officer (CEO)
25+ years of experience leading research and technology innovation. With a PhD in interdisciplinary sciences and a background in electrical engineering, he leads strategy, innovation, and the translation of research into clinical applications at dAIgnostics.
Chief Science Officer (CSO)
Biophysicist with 30+ years of research in neurobiology and co-founder of the dAIgnostics methodology. Prof. Andjus is a biophysicist with over 30 years of research experience and grants coordination in neurobiology and neuroimmunology. He is a co-founder of the dAIgnostics methodology and leads research focused on ALS diagnostics and experimental validation of diagnostic models.
Chief Technology Officer (CTO)
AI and computer vision expert specializing in machine learning for medical diagnostics.
Prof. Lorencin specializes in artificial intelligence, computer vision, and machine learning for medical diagnostics. At dAIgnostics, he leads the development of AI solutions for earlier and more precise detection of neurodegenerative diseases.
Our research partners bring together expertise from academia, advanced microscopy, photonics and innovation centers, supporting the development and validation of our scientific approach.